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How to use foundation models and trusted governance to manage AI workflow risk

IBM Big Data Hub

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. Using AI for certain business tasks or without guardrails in place may also not align with an organization’s core values.

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The Missing Link in Enterprise Data Governance: Metadata

Octopai

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. Steve needed a robust and automated metadata management solution as part of his organization’s data governance strategy. Metadata in data governance.

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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

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What is Metadata Management?

Octopai

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. In this article, you will learn: What does metadata management do?

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How Metadata Makes Data Meaningful

erwin

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

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How Automation is Changing the Face of Business Intelligence: An Interview with Octopai’s CEO

Octopai

The interesting thing about Octopai is that the data management and business intelligence world has reached such great complexity that automation evolved from “a nice to have” to a “must have.” I believe that metadata automation improves the organization, thereby improving each individual employee. Download the Whitepaper.

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Do I Need a Data Catalog?

erwin

Organizations with particularly deep data stores might need a data catalog with advanced capabilities, such as automated metadata harvesting to speed up the data preparation process. Three Types of Metadata in a Data Catalog. The metadata provides information about the asset that makes it easier to locate, understand and evaluate.

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